| N | Med | IQR | |
|---|---|---|---|
| Population | 1573 | 22705 | 32846 |
Les tableaux suivants donnent les taux de vaccination totaux par tranche d’âge pour plusieurs semaines clés.
On a retiré les codes insee de Mayotte puisqu’ils ne sont pas répertoriés dans l’extraction de l’insee, nous avons aussi retiré les codes suivants
999999999, 75999, 69999, 13999 : patients dont la répartition n’est pas possible.
On ne garde aussi que les codes insee de métropole. On retire les 3 codes des EPCI de la métropole du grand Paris, la métropole de lyon et la métropole d’Aix-Marseille car ces données feraient doublon puisque nous avons les données de vaccinations à l’échelle de la commune pour ces EPCI.
Vertaines données de vaccination sont manquantes par souci d’anonymisation sur des territoires trop peu peuplés.
ℹ Using “‘,’” as decimal and “‘.’” as grouping mark. Use read_delim() for more control. ℹ Using “‘,’” as decimal and “‘.’” as grouping mark. Use read_delim() for more control. Joining, by = “codgeo”
| N | Med | IQR | |
|---|---|---|---|
| 75 et + | 1573 | 0.81 | 0.053 |
| TOUT_AGE | 1573 | 0.53 | 0.076 |
| 20-39 | 1573 | 0.42 | 0.12 |
| 65-74 | 1573 | 0.82 | 0.059 |
| 40-54 | 1573 | 0.6 | 0.1 |
| 55-64 | 1573 | 0.73 | 0.08 |
| 00-19 | 1573 | 0.1 | 0.042 |
ℹ Using “‘,’” as decimal and “‘.’” as grouping mark. Use read_delim() for more control. ℹ Using “‘,’” as decimal and “‘.’” as grouping mark. Use read_delim() for more control. Joining, by = “codgeo”
| N | Med | IQR | |
|---|---|---|---|
| TOUT_AGE | 1573 | 0.66 | 0.074 |
| 20-39 | 1573 | 0.64 | 0.11 |
| 00-19 | 1573 | 0.23 | 0.068 |
| 65-74 | 1573 | 0.86 | 0.054 |
| 40-54 | 1573 | 0.75 | 0.09 |
| 75 et + | 1573 | 0.83 | 0.049 |
| 55-64 | 1573 | 0.82 | 0.067 |
ℹ Using “‘,’” as decimal and “‘.’” as grouping mark. Use read_delim() for more control. ℹ Using “‘,’” as decimal and “‘.’” as grouping mark. Use read_delim() for more control. Joining, by = “codgeo”
| N | Med | IQR | |
|---|---|---|---|
| TOUT_AGE | 1573 | 0.71 | 0.072 |
| 75 et + | 1573 | 0.85 | 0.044 |
| 40-54 | 1573 | 0.81 | 0.083 |
| 20-39 | 1573 | 0.73 | 0.11 |
| 65-74 | 1573 | 0.88 | 0.051 |
| 55-64 | 1573 | 0.86 | 0.06 |
| 00-19 | 1573 | 0.3 | 0.073 |
On a représenté les matrices de corrélation sous forme de Heatmap.
Les variables corrélées entre elles à plus de 95 % sont représentées sous forme de graphe.
| N | Med | IQR | |
|---|---|---|---|
| X1ry_res | 1552 | 85 | 15 |
| X2ry_res | 1552 | 5.6 | 11 |
| Vacant_Home | 1552 | 8.4 | 4.2 |
| Houses | 1552 | 79 | 32 |
| Flats | 1552 | 21 | 32 |
| Nb_Rooms_1ry_res | 1552 | 4.4 | 0.56 |
| House_1ry_res | 1552 | 79 | 28 |
| Flat_1ry_res | 1552 | 20 | 28 |
| X1ry_res_bf_1919 | 1552 | 16 | 15 |
| X1ry_res_19.45 | 1552 | 8 | 4.6 |
| X1ry_res_46.70 | 1552 | 16 | 9.5 |
| X1ry_res_71.90 | 1552 | 27 | 8 |
| X1ry_res_91.05 | 1552 | 15 | 7.4 |
| X1ry_res_06.15 | 1552 | 11 | 5.9 |
| HH_Moving_Time_lt2y | 1552 | 11 | 2.8 |
| HH_Moving_Time_2to4y | 1552 | 18 | 4.4 |
| HH_Moving_Time_5to9y | 1552 | 17 | 2 |
| HH_Moving_Time_10to19y | 1552 | 21 | 2.6 |
| HH_Moving_Time_20to29y | 1552 | 12 | 1.8 |
| HH_Moving_Time_gt30y | 1552 | 21 | 7.2 |
| X1ry_res_Owner | 1552 | 69 | 15 |
| X1ry_res_Tenant | 1552 | 19 | 6.1 |
| X1ry_res_Social | 1552 | 7.5 | 8.9 |
| X1ry_res_FreeAcc | 1552 | 1.2 | 1.5 |
| X1ry_res_Carpark | 1552 | 73 | 12 |
| X1ry_res_0car | 1552 | 10 | 6.7 |
| X1ry_res_1car | 1552 | 45 | 6.5 |
| X1ry_res_2car | 1552 | 36 | 9.8 |
| X1ry_res_3.car | 1552 | 7.5 | 3.3 |
| Pop_per_1ry_res | 1552 | 2.2 | 0.28 |
| X1ry_res_gt0car | 1552 | 90 | 6.7 |
| Pop_per_1ry_res_Owner | 1552 | 2.3 | 0.28 |
| Pop_per_1ry_res_Tenant | 1552 | 2 | 0.24 |
| Pop_per_1ry_res_Social | 1544 | 2.2 | 0.4 |
| Pop_per_1ry_res_FreeAcc | 1552 | 1.7 | 0.35 |
| X1ry_res_Occupancy | 1552 | 19 | 24 |
| Owners_Occupancy | 1552 | 16 | 18 |
| Tenant_Occupancy | 1552 | 1.3 | 2.1 |
| Social_Occupancy | 1552 | 0.8 | 2.6 |
| FreeAcc_Occupancy | 1552 | 0.066 | 0.14 |
| Overcrowding_rate | 1552 | 1.9 | 2.2 |
| N | Med | IQR | |
|---|---|---|---|
| X1564_Workforce_rate | 1552 | 75 | 4.1 |
| X1524_Workforce_rate | 1552 | 44 | 7.6 |
| X2554_Workforce_rate | 1552 | 92 | 3.7 |
| X5564_Workforce_rate | 1552 | 54 | 7.6 |
| X1564_men_Workforce_rate | 1552 | 78 | 4 |
| X1524_men_Workforce_rate | 1552 | 48 | 9 |
| X2554_men_Workforce_rate | 1552 | 95 | 3.1 |
| X5564_men_Workforce_rate | 1552 | 56 | 9.1 |
| X1564_women_Workforce_rate | 1552 | 73 | 4.7 |
| X1524_women_Workforce_rate | 1552 | 39 | 6.4 |
| X2554_women_Workforce_rate | 1552 | 89 | 4.6 |
| X5564_women_Workforce_rate | 1552 | 53 | 7.1 |
| X1564_Employed_rate_amg_WF | 1552 | 89 | 4.6 |
| X1524_Employed_rate_amg_WF | 1552 | 75 | 7.9 |
| X2554_Employed_rate_amg_WF | 1552 | 90 | 4.3 |
| X5564_Employed_rate_amg_WF | 1552 | 90 | 3.6 |
| X1564_men_Employed_rate_amg_WF | 1552 | 89 | 4.3 |
| X1524_men_Employed_rate_amg_WF | 1552 | 76 | 8.8 |
| X2554_men_Employed_rate_amg_WF | 1552 | 91 | 4.1 |
| X5564_men_Employed_rate_amg_WF | 1552 | 91 | 3.8 |
| X1564_women_Employed_rate_amg_WF | 1552 | 88 | 4.8 |
| X1524_women_Employed_rate_amg_WF | 1552 | 74 | 8.9 |
| X2554_women_Employed_rate_amg_WF | 1552 | 89 | 4.6 |
| X5564_women_Employed_rate_amg_WF | 1552 | 90 | 4.1 |
| X1564_Unemployed_rate_amg_WF | 1552 | 11 | 4.6 |
| X1524_Unemployed_rate_amg_WF | 1552 | 25 | 7.9 |
| X2554_Unemployed_rate_amg_WF | 1552 | 10 | 4.3 |
| X5564_Unemployed_rate_amg_WF | 1552 | 10 | 3.6 |
| X1564_NonWorking_amg_WF | 1552 | 8.6 | 3.1 |
| X1564_Student_amg_WF | 1552 | 8.3 | 2.5 |
| X1564_Retired_amg_WF | 1552 | 7.8 | 2.9 |
| X1564_OtherInactive_amg_WF | 1552 | 5 | 2.4 |
| X1564_men_Unemplyed_amg_WF | 1552 | 18 | 9.3 |
| X1564_women_Unemplyed_amg_WF | 1552 | 11 | 5.9 |
| X1564_Student_amg_NW | 1552 | 25 | 9.1 |
| X1564_Retired_amg_NW | 1552 | 24 | 9 |
| X1564_OtherInactive_amg_NW | 1552 | 15 | 4.5 |
| X1564_NonWorking_amg_POP | 1552 | 33 | 6.9 |
| X1564_Farmers_amg_WF | 1552 | 2.7 | 5.4 |
| X1564_CraftsBusinessShopkeepers_amg_WF | 1552 | 8.6 | 4.7 |
| X1564_HihgQualWorkers_amg_WF | 1552 | 10 | 6 |
| X1564_IntermediateProf_amg_WF | 1552 | 23 | 6.6 |
| X1564_BlueCollar_amg_WF | 1552 | 23 | 10 |
| X1564_WhiteCollar_amg_WF | 1552 | 28 | 6.2 |
| X1564_Farmers_amg_EmpWF | 1552 | 1.6 | 3.5 |
| X1564_CraftsBusinessShopkeepers_amg_EmpWF | 1552 | 6.6 | 3 |
| X1564_HihgQualWorkers_amg_EmpWF | 1552 | 9.9 | 7.7 |
| X1564_IntermediateProf_amg_EmpWF | 1552 | 24 | 5.9 |
| X1564_BlueCollar_amg_EmpWF | 1552 | 24 | 11 |
| X1564_WhiteCollar_amg_EmpWF | 1552 | 28 | 4.6 |
| X15._men_amg_empWF | 1552 | 50 | 1.6 |
| X15._women_amg_empWF | 1552 | 50 | 1.6 |
| X15._Salaried_amg_empWF | 1552 | 86 | 7.7 |
| X15._NonSalaried_amg_empWF | 1552 | 14 | 7.7 |
| X15._FullTime_amg_empWF | 1552 | 83 | 3.5 |
| X15._men_amg_salWF | 1552 | 50 | 2.4 |
| X15._women_amg_salWF | 1552 | 50 | 2.4 |
| X15._men_amg_nonsalWF | 1552 | 64 | 4.1 |
| X15._women_amg_nonsalWF | 1552 | 36 | 4.1 |
| X15._men_amg_FullTimeWF | 1552 | 85 | 8.4 |
| X15._women_amg_FullTimeWF | 1552 | 15 | 8.4 |
| X15._FullTime_amg_salWF | 1552 | 82 | 4.2 |
| N | Med | IQR | |
|---|---|---|---|
| SinglePerson_HH | 1533 | 33 | 8.5 |
| SingleMan_HH | 1533 | 15 | 3.7 |
| SingleWoman_HH | 1533 | 18 | 5.3 |
| OtherNoFamily_HH | 1533 | 1.5 | 0.67 |
| Family_HH | 1533 | 65 | 8.8 |
| NoChildFamily_HH | 1552 | 45 | 9 |
| ChildFamily_HH | 1552 | 41 | 8.8 |
| SingleParent_HH | 1552 | 13 | 4.6 |
| Farmer_HH | 1533 | 1.3 | 2.4 |
| CraftsBusinessShopkeepers_HH | 1533 | 4.9 | 2 |
| HighQualidied_HH | 1533 | 6.8 | 6.1 |
| Intermediate_HH | 1533 | 15 | 5.5 |
| BlueCollar_HH | 1533 | 16 | 7.7 |
| WhiteCollar_HH | 1533 | 16 | 3.2 |
| Retired_HH | 1533 | 32 | 9.1 |
| Other_HH | 1533 | 4 | 2.6 |
| X15._SinglePerson_HH | 1552 | 38 | 6.8 |
| Pop_SingleMan_HH | 1533 | 6.7 | 2.4 |
| Pop_SingleWoman_HH | 1533 | 8.2 | 3.4 |
| Pop_OtherNoFamily_HH | 1533 | 1.5 | 0.75 |
| Pop_Family_HH | 1533 | 83 | 6.1 |
| Pop_NoChildFamily_HH | 1533 | 32 | 8.4 |
| Pop_ChildFamily_HH | 1533 | 55 | 8.9 |
| Pop_SingleParent_HH | 1533 | 12 | 4.2 |
| Pop_Farmer_HH | 1533 | 1.5 | 2.9 |
| Pop_CraftsBusinessShopkeepers_HH | 1533 | 6.1 | 2.3 |
| Pop_HighQualidied_HH | 1533 | 8.2 | 7.2 |
| Pop_Intermediate_HH | 1533 | 17 | 5.5 |
| Pop_BlueCollar_HH | 1533 | 19 | 9.2 |
| Pop_WhiteCollar_HH | 1533 | 17 | 3.5 |
| Pop_Retired_HH | 1533 | 23 | 7.9 |
| Pop_Other_HH | 1533 | 3.1 | 2.2 |
| X1524_amg_15.POP | 1552 | 12 | 3.1 |
| X2554_amg_15.POP | 1552 | 45 | 7.3 |
| X5579_amg_15.POP | 1552 | 35 | 6.9 |
| X80._amg_15.POP | 1552 | 8 | 3.4 |
| X15._Single_amg_POP | 1552 | 23 | 4.5 |
| X15._Married_amg_POP | 1552 | 46 | 4.5 |
| X15._nonMarried_amg_POP | 1552 | 54 | 4.5 |
| X1524_amg_HH | 1552 | 12 | 3 |
| X2554_amg_HH | 1552 | 46 | 7.1 |
| X5579_amg_HH | 1552 | 35 | 7 |
| X80._amg_HH | 1552 | 7 | 3 |
| X1524_amg_Single | 1552 | 3.5 | 2.5 |
| X2554_amg_Single | 1552 | 31 | 7.7 |
| X5579_amg_Single | 1552 | 45 | 6.1 |
| X80._amg_Single | 1552 | 19 | 5.2 |
| Family_w_Children_amg_HH | 1552 | 55 | 9 |
| Single_Parent_Family_amg_HH | 1552 | 13 | 4.6 |
| Family_wo_Children_amg_HH | 1552 | 45 | 9 |
| N | Med | IQR | |
|---|---|---|---|
| D1_st_Living | 1535 | 12140 | 2125 |
| Median_st_Living | 1552 | 21210 | 3022 |
| D9_st_Living | 1535 | 34980 | 6410 |
| Interdecile_91_Ratio | 1535 | 2.9 | 0.5 |
| Taxable_HH | 1535 | 48 | 14 |
| Poverty_amg_Owners | 1449 | 7 | 4.4 |
| Poverty_amg_Tenants | 1487 | 26 | 10 |
| X.30_Poverty | 747 | 21 | 9.3 |
| X3039_Poverty | 1244 | 16 | 9.3 |
| X4049_Poverty | 1369 | 15 | 8.7 |
| X5059_Poverty | 1298 | 14 | 7.2 |
| X6074_Poverty | 1192 | 9.8 | 5.1 |
| X75._Poverty | 868 | 11 | 5.5 |
| Poverty | 1515 | 13 | 6.8 |
| Activity_Income | 1535 | 71 | 14 |
| Salary_Income | 1535 | 62 | 16 |
| Unemployment_Benef | 1535 | 2.8 | 0.7 |
| Self.Employment | 1535 | 5.7 | 2.6 |
| Pensions_Annuities | 1535 | 30 | 10 |
| Estate | 1535 | 9.4 | 2.8 |
| Social_Benef | 1535 | 5.1 | 2.1 |
| Family_Benef | 1535 | 2.1 | 0.7 |
| Social_Minima | 1535 | 1.9 | 1.2 |
| Housing_Benef | 1535 | 1.1 | 0.6 |
| Tax | 1535 | -16 | 3.3 |
| N | Med | IQR | |
|---|---|---|---|
| Wk_Res_Municipality | 1552 | 27 | 17 |
| Wk_Res_County.Municipality | 1552 | 54 | 25 |
| Wk_Res_Region.County | 1552 | 4.9 | 13 |
| Wk_Res_Country.Region | 1552 | 1.7 | 2 |
| Wk_Dom_Com_Abroad | 1552 | 0.18 | 0.23 |
| noTransport_toWk | 1552 | 4.7 | 3 |
| Walk_toWk | 1552 | 5 | 3.3 |
| Bike_toWk | 1552 | 0.99 | 1 |
| Motorbike_toWk | 1552 | 1.1 | 0.72 |
| Drive_toWk | 1552 | 83 | 8.9 |
| PublicTrans_toWk | 1552 | 3 | 6.2 |
| X15._Men_amg_salWF | 1552 | 50 | 2.4 |
| X15._Women_amg_salWF | 1552 | 50 | 2.4 |
| X15._PermanentContract_amg_salWF | 314 | 83 | 5.7 |
| X15._ShortTermContract_amg_salWF | 314 | 11 | 5.4 |
| X15._InterimContract_amg_salWF | 314 | 1.1 | 1.5 |
| X15._SubsidizedWork_amg_salWF | 314 | 1.1 | 1.5 |
| X15._ApprenticeContract_amg_salWF | 314 | 2.3 | 1.6 |
| X15._SelfEmployed_amg_nonsalWF | 314 | 64 | 11 |
| X15._Employers_amg_nonsalWF | 314 | 35 | 11 |
| X15._caregivers_amg_nonsalWF | 314 | 0.89 | 2 |
| N | Med | IQR | |
|---|---|---|---|
| X0205_School | 1552 | 74 | 5 |
| X0610_School | 1552 | 98 | 0.97 |
| X1114_School | 1552 | 98 | 0.77 |
| X1517_School | 1552 | 96 | 2.1 |
| X1824_School | 1552 | 38 | 17 |
| X2529_School | 1552 | 3.5 | 2.9 |
| X30._School | 1552 | 0.66 | 0.33 |
| X15._NoDiploma_amg_WF | 1552 | 23 | 8.3 |
| X15._CertifGeneEducation_amg_WF | 1552 | 5.6 | 1.4 |
| X15._VocationalGraduate_amg_WF | 1552 | 28 | 6.6 |
| X15._HighSchoolGraduate_amg_WF | 1552 | 17 | 2.1 |
| X15._HSG.2_amg_WF | 1552 | 11 | 3.1 |
| X15._HSG.4_amg_WF | 1552 | 7.7 | 3.7 |
| X15._HSG.5._amg_WF | 1552 | 5.8 | 5.1 |
| X15._HighEducation_amg_WF | 1552 | 25 | 12 |
| X15._men_NoDiploma_amg_mWF | 1552 | 20 | 7.3 |
| X15._men_VocationalGraduate_amg_mWF | 1552 | 34 | 9.3 |
| X15._men_HighSchoolGraduate_amg_mWF | 1552 | 17 | 2.2 |
| X15._men_HighEducation_amg_mWF | 1552 | 23 | 12 |
| X15._women_NoDiploma_amg_wWF | 1552 | 25 | 9.4 |
| X15._women_VocationalGraduate_amg_wWF | 1552 | 23 | 4.9 |
| X15._women_HighSchoolGraduate_amg_wWF | 1552 | 18 | 2.3 |
| X15._women_HighEducation_amg_wWF | 1552 | 26 | 12 |
| X15._MenOnWomen_NoDiploma | 1552 | 76 | 12 |
| X15._MenOnWomen_VocationalGraduate | 1552 | 135 | 25 |
| X15._MenOnWomen_HighSchoolGraduate | 1552 | 89 | 10 |
| X15._MenOnWomen_HighEducation | 1552 | 82 | 8.5 |
| N | Med | IQR | |
|---|---|---|---|
| X0014_amg_POP | 1552 | 18 | 3.7 |
| X1529_amg_POP | 1552 | 18 | 3.7 |
| X3044_amg_POP | 1552 | 18 | 3.2 |
| X4559_amg_POP | 1552 | 21 | 1.7 |
| X6074_amg_POP | 1552 | 18 | 4.8 |
| X7589_amg_POP | 1552 | 8.7 | 3.6 |
| X90._amg_POP | 1552 | 1.3 | 0.78 |
| Men | 1552 | 49 | 1.3 |
| X0019_amg_POP | 1552 | 23 | 4.3 |
| X2064_amg_POP | 1552 | 55 | 3.9 |
| X65._amg_POP | 1552 | 21 | 7.8 |
| X15._Farmers_amg_POP | 1552 | 0.96 | 1.9 |
| X15._CraftsBusinessShopkeeper_amg_POP | 1552 | 3.8 | 1.5 |
| X15._ManagersHigherIntellectProf_amg_POP | 1552 | 5.6 | 5 |
| X15._IntermediateProf_amg_POP | 1552 | 14 | 4.8 |
| X15._WhiteCollar_amg_POP | 1552 | 16 | 2.7 |
| X15._BlueCollar_amg_POP | 1552 | 13 | 5.8 |
| X15._Retired_amg_POP | 1552 | 30 | 9.4 |
| X15._OtherNoActivity_amg_POP | 1552 | 14 | 4.3 |
| X0014_men_amg_mPOP | 1552 | 18 | 3.8 |
| X1529_men_amg_mPOP | 1552 | 15 | 3.6 |
| X3044_men_amg_mPOP | 1552 | 18 | 3 |
| X4559_men_amg_mPOP | 1552 | 21 | 1.8 |
| X6074_men_amg_mPOP | 1552 | 18 | 5.2 |
| X7589_men_amg_mPOP | 1552 | 7.3 | 3.2 |
| X90._men_amg_mPOP | 1552 | 0.73 | 0.47 |
| X0019_men_amg_mPOP | 1552 | 25 | 4.5 |
| X2064_men_amg_mPOP | 1552 | 55 | 3.5 |
| X65._men_amg_mPOP | 1552 | 19 | 7.2 |
| X15._men_Farmers_amg_mPOP | 1552 | 1.5 | 2.9 |
| X15._men_CraftsBusinessShopkeeper_amg_mPOP | 1552 | 5.6 | 2.2 |
| X15._men_ManagersHigherIntellectProf_amg_mPOP | 1552 | 6.8 | 6.5 |
| X15._men_IntermediateProf_amg_mPOP | 1552 | 13 | 4.6 |
| X15._men_WhiteCollar_amg_mPOP | 1552 | 7.1 | 3 |
| X15._men_BlueCollar_amg_mPOP | 1552 | 22 | 8.6 |
| X15._men_Retired_amg_mPOP | 1552 | 29 | 8.8 |
| X15._men_OtherNoActivity_amg_POP | 1552 | 11 | 3.5 |
| X0014_women_amg_wPOP | 1552 | 17 | 3.8 |
| X1529_women_amg_wPOP | 1552 | 14 | 3.5 |
| X3044_women_amg_wPOP | 1552 | 18 | 3.5 |
| X4559_women_amg_wPOP | 1552 | 20 | 1.7 |
| X6074_women_amg_wPOP | 1552 | 18 | 4.6 |
| X7589_women_amg_wPOP | 1552 | 10 | 4.1 |
| X90._women_amg_wPOP | 1552 | 1.9 | 1.1 |
| X0019_women_amg_wPOP | 1552 | 22 | 4.4 |
| X2064_women_amg_wPOP | 1552 | 54 | 4.5 |
| X65._women_amg_wPOP | 1552 | 23 | 8.3 |
| X15._women_Farmers_amg_wPOP | 1552 | 0.44 | 0.98 |
| X15._women_CraftsBusinessShopkeeper_amg_wPOP | 1552 | 2.1 | 1 |
| X15._women_ManagersHigherIntellectProf_amh_wPOP | 1552 | 4.5 | 3.8 |
| X15._women_IntermediateProf_amg_wPOP | 1552 | 14 | 5.2 |
| X15._women_WhiteCollar_amg_wPOP | 1552 | 24 | 4 |
| X15._women_BlueCollar_amg_wPOP | 1552 | 4.8 | 3.2 |
| X15._women_Retired_amg_wPOP | 1552 | 31 | 10 |
| X15._women_OtherNoActivity_amg_wPOP | 1552 | 16 | 5 |
| N | Med | IQR | |
|---|---|---|---|
| French_nlty | 1219 | 96 | 5.3 |
| Stranger | 1219 | 3.9 | 5.3 |
| Immigrant | 1533 | 5.4 | 6.1 |
| French_nlty_amg_Men | 1219 | 96 | 5.4 |
| Stranger_amg_Men | 1219 | 4.1 | 5.4 |
| Immigrant_amg_Men | 1533 | 5.4 | 6.1 |
| French_nlty_amg_Women | 1219 | 96 | 5 |
| Stranger_amg_Women | 1219 | 3.8 | 5 |
| Immigrant_amg_Women | 1533 | 5.5 | 6.2 |
| Res_Abroad_2017 | 1219 | 0.25 | 0.26 |
| N | Med | IQR | |
|---|---|---|---|
| latitude | 1552 | 47 | 4.2 |
| longitude | 1552 | 4.1 | 3.4 |
| densite | 1552 | 60 | 102 |
| SO.NE | 1552 | 1.3 | 0.29 |
| NO.SE | 1552 | -0.39 | 0.36 |
On retire de l’étude les variables ayant plus de 5% de données manquantes : c’est à dire les variables dont le N est inférieur à 1492 observations.
De plus, quand deux variables sont fortement corrélées (à plus de 95%), on n’en garde qu’une des deux.
Ces deux tris successifs permettent de réduire le nombre de variables de l’étude à 179 variables à partir des 302 variables d’origine.
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| N | Med | IQR | |
|---|---|---|---|
| X1ry_res | 1552 | 85 | 15 |
| Vacant_Home | 1552 | 8.4 | 4.2 |
| Flats | 1552 | 21 | 32 |
| Nb_Rooms_1ry_res | 1552 | 4.4 | 0.56 |
| X1ry_res_bf_1919 | 1552 | 16 | 15 |
| X1ry_res_19.45 | 1552 | 8 | 4.6 |
| X1ry_res_46.70 | 1552 | 16 | 9.5 |
| X1ry_res_71.90 | 1552 | 27 | 8 |
| X1ry_res_91.05 | 1552 | 15 | 7.4 |
| X1ry_res_06.15 | 1552 | 11 | 5.9 |
| HH_Moving_Time_lt2y | 1552 | 11 | 2.8 |
| HH_Moving_Time_2to4y | 1552 | 18 | 4.4 |
| HH_Moving_Time_5to9y | 1552 | 17 | 2 |
| HH_Moving_Time_10to19y | 1552 | 21 | 2.6 |
| HH_Moving_Time_20to29y | 1552 | 12 | 1.8 |
| HH_Moving_Time_gt30y | 1552 | 21 | 7.2 |
| X1ry_res_Owner | 1552 | 69 | 15 |
| X1ry_res_Tenant | 1552 | 19 | 6.1 |
| X1ry_res_Social | 1552 | 7.5 | 8.9 |
| X1ry_res_FreeAcc | 1552 | 1.2 | 1.5 |
| X1ry_res_Carpark | 1552 | 73 | 12 |
| X1ry_res_0car | 1552 | 10 | 6.7 |
| X1ry_res_1car | 1552 | 45 | 6.5 |
| X1ry_res_2car | 1552 | 36 | 9.8 |
| X1ry_res_3.car | 1552 | 7.5 | 3.3 |
| Pop_per_1ry_res | 1552 | 2.2 | 0.28 |
| Pop_per_1ry_res_Owner | 1552 | 2.3 | 0.28 |
| Pop_per_1ry_res_Tenant | 1552 | 2 | 0.24 |
| Pop_per_1ry_res_Social | 1544 | 2.2 | 0.4 |
| Pop_per_1ry_res_FreeAcc | 1552 | 1.7 | 0.35 |
| Social_Occupancy | 1552 | 0.8 | 2.6 |
| Overcrowding_rate | 1552 | 1.9 | 2.2 |
| X1564_Workforce_rate | 1552 | 75 | 4.1 |
| X1524_Workforce_rate | 1552 | 44 | 7.6 |
| X2554_Workforce_rate | 1552 | 92 | 3.7 |
| X5564_Workforce_rate | 1552 | 54 | 7.6 |
| X1564_men_Workforce_rate | 1552 | 78 | 4 |
| X2554_men_Workforce_rate | 1552 | 95 | 3.1 |
| X1564_women_Workforce_rate | 1552 | 73 | 4.7 |
| X1524_women_Workforce_rate | 1552 | 39 | 6.4 |
| X2554_women_Workforce_rate | 1552 | 89 | 4.6 |
| X5564_women_Workforce_rate | 1552 | 53 | 7.1 |
| X1524_men_Employed_rate_amg_WF | 1552 | 76 | 8.8 |
| X5564_men_Employed_rate_amg_WF | 1552 | 91 | 3.8 |
| X1524_women_Employed_rate_amg_WF | 1552 | 74 | 8.9 |
| X5564_women_Employed_rate_amg_WF | 1552 | 90 | 4.1 |
| X1564_Unemployed_rate_amg_WF | 1552 | 11 | 4.6 |
| X1524_Unemployed_rate_amg_WF | 1552 | 25 | 7.9 |
| X5564_Unemployed_rate_amg_WF | 1552 | 10 | 3.6 |
| X1564_Student_amg_WF | 1552 | 8.3 | 2.5 |
| X1564_Retired_amg_WF | 1552 | 7.8 | 2.9 |
| X1564_OtherInactive_amg_WF | 1552 | 5 | 2.4 |
| X1564_Student_amg_NW | 1552 | 25 | 9.1 |
| X1564_Retired_amg_NW | 1552 | 24 | 9 |
| X1564_OtherInactive_amg_NW | 1552 | 15 | 4.5 |
| X1564_NonWorking_amg_POP | 1552 | 33 | 6.9 |
| X1564_Farmers_amg_WF | 1552 | 2.7 | 5.4 |
| X1564_CraftsBusinessShopkeepers_amg_WF | 1552 | 8.6 | 4.7 |
| X1564_HihgQualWorkers_amg_WF | 1552 | 10 | 6 |
| X1564_IntermediateProf_amg_WF | 1552 | 23 | 6.6 |
| X1564_BlueCollar_amg_WF | 1552 | 23 | 10 |
| X1564_WhiteCollar_amg_WF | 1552 | 28 | 6.2 |
| X1564_Farmers_amg_EmpWF | 1552 | 1.6 | 3.5 |
| X1564_CraftsBusinessShopkeepers_amg_EmpWF | 1552 | 6.6 | 3 |
| X1564_HihgQualWorkers_amg_EmpWF | 1552 | 9.9 | 7.7 |
| X1564_IntermediateProf_amg_EmpWF | 1552 | 24 | 5.9 |
| X1564_BlueCollar_amg_EmpWF | 1552 | 24 | 11 |
| X1564_WhiteCollar_amg_EmpWF | 1552 | 28 | 4.6 |
| X15._men_amg_empWF | 1552 | 50 | 1.6 |
| X15._women_amg_empWF | 1552 | 50 | 1.6 |
| X15._NonSalaried_amg_empWF | 1552 | 14 | 7.7 |
| X15._men_amg_salWF | 1552 | 50 | 2.4 |
| X15._men_amg_nonsalWF | 1552 | 64 | 4.1 |
| X15._FullTime_amg_salWF | 1552 | 82 | 4.2 |
| SinglePerson_HH | 1533 | 33 | 8.5 |
| SingleMan_HH | 1533 | 15 | 3.7 |
| SingleWoman_HH | 1533 | 18 | 5.3 |
| OtherNoFamily_HH | 1533 | 1.5 | 0.67 |
| NoChildFamily_HH | 1552 | 45 | 9 |
| ChildFamily_HH | 1552 | 41 | 8.8 |
| SingleParent_HH | 1552 | 13 | 4.6 |
| Farmer_HH | 1533 | 1.3 | 2.4 |
| CraftsBusinessShopkeepers_HH | 1533 | 4.9 | 2 |
| HighQualidied_HH | 1533 | 6.8 | 6.1 |
| Intermediate_HH | 1533 | 15 | 5.5 |
| BlueCollar_HH | 1533 | 16 | 7.7 |
| WhiteCollar_HH | 1533 | 16 | 3.2 |
| Retired_HH | 1533 | 32 | 9.1 |
| Other_HH | 1533 | 4 | 2.6 |
| X15._SinglePerson_HH | 1552 | 38 | 6.8 |
| Pop_Farmer_HH | 1533 | 1.5 | 2.9 |
| Pop_WhiteCollar_HH | 1533 | 17 | 3.5 |
| X1524_amg_15.POP | 1552 | 12 | 3.1 |
| X2554_amg_15.POP | 1552 | 45 | 7.3 |
| X5579_amg_15.POP | 1552 | 35 | 6.9 |
| X80._amg_15.POP | 1552 | 8 | 3.4 |
| X15._Single_amg_POP | 1552 | 23 | 4.5 |
| X15._Married_amg_POP | 1552 | 46 | 4.5 |
| X1524_amg_Single | 1552 | 3.5 | 2.5 |
| X2554_amg_Single | 1552 | 31 | 7.7 |
| X5579_amg_Single | 1552 | 45 | 6.1 |
| X80._amg_Single | 1552 | 19 | 5.2 |
| D1_st_Living | 1535 | 12140 | 2125 |
| Median_st_Living | 1552 | 21210 | 3022 |
| D9_st_Living | 1535 | 34980 | 6410 |
| Interdecile_91_Ratio | 1535 | 2.9 | 0.5 |
| Taxable_HH | 1535 | 48 | 14 |
| Poverty_amg_Owners | 1449 | 7 | 4.4 |
| Poverty_amg_Tenants | 1487 | 26 | 10 |
| Poverty | 1515 | 13 | 6.8 |
| Activity_Income | 1535 | 71 | 14 |
| Unemployment_Benef | 1535 | 2.8 | 0.7 |
| Self.Employment | 1535 | 5.7 | 2.6 |
| Pensions_Annuities | 1535 | 30 | 10 |
| Estate | 1535 | 9.4 | 2.8 |
| Social_Benef | 1535 | 5.1 | 2.1 |
| Family_Benef | 1535 | 2.1 | 0.7 |
| Social_Minima | 1535 | 1.9 | 1.2 |
| Tax | 1535 | -16 | 3.3 |
| Wk_Res_Municipality | 1552 | 27 | 17 |
| Wk_Res_County.Municipality | 1552 | 54 | 25 |
| Wk_Res_Region.County | 1552 | 4.9 | 13 |
| Wk_Res_Country.Region | 1552 | 1.7 | 2 |
| Wk_Dom_Com_Abroad | 1552 | 0.18 | 0.23 |
| noTransport_toWk | 1552 | 4.7 | 3 |
| Walk_toWk | 1552 | 5 | 3.3 |
| Bike_toWk | 1552 | 0.99 | 1 |
| Motorbike_toWk | 1552 | 1.1 | 0.72 |
| Drive_toWk | 1552 | 83 | 8.9 |
| PublicTrans_toWk | 1552 | 3 | 6.2 |
| X15._Men_amg_salWF | 1552 | 50 | 2.4 |
| X0205_School | 1552 | 74 | 5 |
| X0610_School | 1552 | 98 | 0.97 |
| X1114_School | 1552 | 98 | 0.77 |
| X1517_School | 1552 | 96 | 2.1 |
| X1824_School | 1552 | 38 | 17 |
| X2529_School | 1552 | 3.5 | 2.9 |
| X30._School | 1552 | 0.66 | 0.33 |
| X15._NoDiploma_amg_WF | 1552 | 23 | 8.3 |
| X15._CertifGeneEducation_amg_WF | 1552 | 5.6 | 1.4 |
| X15._VocationalGraduate_amg_WF | 1552 | 28 | 6.6 |
| X15._HighSchoolGraduate_amg_WF | 1552 | 17 | 2.1 |
| X15._HSG.2_amg_WF | 1552 | 11 | 3.1 |
| X15._HighEducation_amg_WF | 1552 | 25 | 12 |
| X15._men_HighSchoolGraduate_amg_mWF | 1552 | 17 | 2.2 |
| X15._women_HighEducation_amg_wWF | 1552 | 26 | 12 |
| X15._MenOnWomen_NoDiploma | 1552 | 76 | 12 |
| X15._MenOnWomen_VocationalGraduate | 1552 | 135 | 25 |
| X15._MenOnWomen_HighSchoolGraduate | 1552 | 89 | 10 |
| X15._MenOnWomen_HighEducation | 1552 | 82 | 8.5 |
| X3044_amg_POP | 1552 | 18 | 3.2 |
| X4559_amg_POP | 1552 | 21 | 1.7 |
| X90._amg_POP | 1552 | 1.3 | 0.78 |
| Men | 1552 | 49 | 1.3 |
| X0019_amg_POP | 1552 | 23 | 4.3 |
| X2064_amg_POP | 1552 | 55 | 3.9 |
| X65._amg_POP | 1552 | 21 | 7.8 |
| X15._Farmers_amg_POP | 1552 | 0.96 | 1.9 |
| X15._CraftsBusinessShopkeeper_amg_POP | 1552 | 3.8 | 1.5 |
| X15._ManagersHigherIntellectProf_amg_POP | 1552 | 5.6 | 5 |
| X15._IntermediateProf_amg_POP | 1552 | 14 | 4.8 |
| X15._WhiteCollar_amg_POP | 1552 | 16 | 2.7 |
| X15._BlueCollar_amg_POP | 1552 | 13 | 5.8 |
| X15._OtherNoActivity_amg_POP | 1552 | 14 | 4.3 |
| X1529_men_amg_mPOP | 1552 | 15 | 3.6 |
| X90._men_amg_mPOP | 1552 | 0.73 | 0.47 |
| X15._men_IntermediateProf_amg_mPOP | 1552 | 13 | 4.6 |
| X15._men_WhiteCollar_amg_mPOP | 1552 | 7.1 | 3 |
| X15._men_OtherNoActivity_amg_POP | 1552 | 11 | 3.5 |
| X1529_women_amg_wPOP | 1552 | 14 | 3.5 |
| X15._women_CraftsBusinessShopkeeper_amg_wPOP | 1552 | 2.1 | 1 |
| X15._women_WhiteCollar_amg_wPOP | 1552 | 24 | 4 |
| X15._women_BlueCollar_amg_wPOP | 1552 | 4.8 | 3.2 |
| Immigrant | 1533 | 5.4 | 6.1 |
| latitude | 1552 | 47 | 4.2 |
| longitude | 1552 | 4.1 | 3.4 |
| densite | 1552 | 60 | 102 |
| SO.NE | 1552 | 1.3 | 0.29 |
| NO.SE | 1552 | -0.39 | 0.36 |
Pour construire les graphiques suivants, chaque variable a été dichotomisée par rapport à la médiane (1 pour supérieur à la médiane et 0 pour inférieur à la médiane).
Pour chaque semaine de l’année 2021, les 25 % des territoires les moins vaccinés sont étiquetés 1 et les autres 0.
On calcule l’odds ratio pour chaque variable. Cela permet de repérer les variables qui agissent le plus sur le taux de vaccination.
Dans ls graphique suivants, chaque variable a une position fixe sur l’axe des abscisses.
L’axe des ordonnées représente le maximum entre l’odds ratio et son inverse. Ainsi une variable qui agit fortement sur le taux de vaccination aura une position élevée sur le graphque indépendamment de l’influence positive ou négative de son influence. Les variables sont classées par thématique.
La grosseur de chaque point est proportionnelle à \(-\log_{10}(p)\).
Puis pour connaître l’influence de chaque variable, on ne trace uniquement l’odds ratio et enfin son inverse.
Une variable tracée avec un triangle pointe en gaut indique que plus la valeur de la variable est élevée, plus le territoire est vacciné. À l’inverse, si la variable est symbolisée avec un triangle pointe en bas, une valeur élevée de la variable indique un territoire moins vacciné.
| Comparison | method | p.value |
|---|---|---|
| wk27_wk31 | Wilcoxon rank sum test with continuity correction | 0.6987 |
| wk31_wk35 | Wilcoxon rank sum test with continuity correction | 0.2379 |
| wk27_wk35 | Wilcoxon rank sum test with continuity correction | 0.4803 |
| Comparison | method | p.value |
|---|---|---|
| wk27_wk31 | Wilcoxon rank sum test with continuity correction | 0.0002143 |
| wk31_wk35 | Wilcoxon rank sum test with continuity correction | 0.06146 |
| wk27_wk35 | Wilcoxon rank sum test with continuity correction | 8.17e-08 |
| Comparison | method | p.value |
|---|---|---|
| wk27_wk31 | Wilcoxon rank sum test with continuity correction | 0.6642 |
| wk31_wk35 | Wilcoxon rank sum test with continuity correction | 0.5376 |
| wk27_wk35 | Wilcoxon rank sum test with continuity correction | 0.4443 |
| Comparison | method | p.value |
|---|---|---|
| wk27_wk31 | Wilcoxon rank sum test with continuity correction | 0.6904 |
| wk31_wk35 | Wilcoxon rank sum test with continuity correction | 0.6717 |
| wk27_wk35 | Wilcoxon rank sum test with continuity correction | 0.4899 |
| Comparison | method | p.value |
|---|---|---|
| wk27_wk31 | Wilcoxon rank sum test with continuity correction | 0.496 |
| wk31_wk35 | Wilcoxon rank sum test with continuity correction | 0.9414 |
| wk27_wk35 | Wilcoxon rank sum test with continuity correction | 0.5556 |
| Comparison | method | p.value |
|---|---|---|
| wk27_wk31 | Wilcoxon rank sum test with continuity correction | 0.8437 |
| wk31_wk35 | Wilcoxon rank sum test with continuity correction | 0.404 |
| wk27_wk35 | Wilcoxon rank sum test with continuity correction | 0.2895 |
| Comparison | method | p.value |
|---|---|---|
| wk27_wk31 | Wilcoxon rank sum test with continuity correction | 0.8056 |
| wk31_wk35 | Wilcoxon rank sum test with continuity correction | 0.3898 |
| wk27_wk35 | Wilcoxon rank sum test with continuity correction | 0.2909 |
| semaine_injection | 00-19 | 20-39 | 40-54 | 55-64 | 65-74 | 75 et + |
|---|---|---|---|---|---|---|
| 2021-22 | 1.78 | 27.17 | 44.88 | 64.27 | 75.76 | 77.16 |
| 2021-27 | 9.66 | 44.19 | 59.59 | 72.14 | 80.6 | 79.86 |
| 2021-31 | 20.31 | 63.8 | 73.78 | 80.62 | 85.04 | 82.44 |
| 2021-35 | 26.57 | 71.48 | 79.86 | 84.5 | 87.3 | 84.17 |